Abstract LB155: Combination of IGF-1R targeted alpha therapy with checkpoint inhibitors results in synergistic efficacy in a syngeneic colorectal tumor model
Notice bibliographique
Résumé
Abstract Objective: In the last decade, immunotherapy has revolutionized cancer care and became a mainstream therapy along with surgery, chemotherapy and radiation. Unfortunately, only a limited number of cancers exhibit intrinsic sensitivity to immunotherapies and the overall response rate is only 20-25%. Therefore, there is a strong impetus to identify treatments which can sensitize patients to immunotherapies. Fusion utilizes targeted alpha therapy (TAT) which enables delivery of alpha particle emitting isotopes (actinium 225) to the targeted tumor cells. The rationale for the combination of TAT and immunotherapy stems from known immune stimulating properties of radiation, leading to release of tumor-associated antigens, maturation of antigen-presenting cells (APCs) and in turn activation and proliferation of CD8+ T cells. Therefore, we have hypothesized that combination of TAT with immunotherapy will lead to a robust therapeutic effect resulting in a synergistic response as compared to monotherapy alone. Methods: The syngeneic CT26 colon cancer model was used to evaluate therapeutic efficacy of combination treatment with actinium 225-radiolabelled IGF-1R antibody (mAb), FPI-1792, and checkpoint inhibitors. FPI-1792 was used as a surrogate therapeutic that cross-reacts with mouse IGF1R. Mice with subcutaneous tumors (tumor volume ~175 mm3) were treated with either vehicle, an anti-CTLA-4 mAb (5 mg/kg) or anti-PD-1 mAb alone (5 mg/kg), FPI-1792 alone (375 kBq/kg) or the respective combinations. CD8+ T cells infiltration was evaluated via flow cytometry. Results: While only transient tumor growth suppression was detected in animals treated with either checkpoint inhibitors or FPI-1792 alone, complete tumor regression was observed in 13 out of 15 mice treated with combination therapies, indicating development of potent synergy in the combination groups. To investigate whether animals with regressing tumors will be able to reject a secondary tumor, all surviving animals were re-challenged with CT26 cells on the contralateral flank. Rejection of the secondary tumors was detected in 87% of mice previously treated with either FPI-1792 alone or a combination therapy, while tumors grew in all control animals. To gain a better understanding of the mechanism responsible for tumor regression, tumors were collected 14 days post re-challenge and analyzed via flow cytometry. An increased frequency of CD8+ T cells was observed in mice treated with combination therapy as compared to untreated animals (5-20% vs 1-2%, respectively). Importantly, high frequency of AH1 antigen-specific T cells was detected using a tetramer staining - 30-70% in the treated animals as compared to 2-3% in the control mice. Conclusions: The combination of targeted alpha therapy with checkpoint inhibitors led to tumor regression in a CT26 syngeneic model. Moreover, mice re-challenged with the same tumor on the contralateral flank were protected due to development of a strong immune response. Finally, increased frequency of antigen specific CD8+ T cells in re-challenged tumors suggests that combined treatment can break T cell tolerance and elicit a strong CD8+ T cell mediated immune response, culminating in tumor rejection. Citation Format: Sonal Patel, Natalie Grinshtein, Ryan Simms, Meiduo Hu, John Valliant, Eric Burak. Combination of IGF-1R targeted alpha therapy with checkpoint inhibitors results in synergistic efficacy in a syngeneic colorectal tumor model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB155.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».